Apparatus with speech recognition and method therefor

Abstract

Briefly, in accordance with one embodiment of the invention, a recognition system may modify speech models using noise in an input signal that is received prior to a speech sample in the input sample.

1 . A method comprising: 
 modifying a speech model using a noise model, wherein the noise model is determined only from noise prior a speech sample.    
     
     
         2 . The method of  claim 1 , further comprising using the speech model to recognize the speech sample.  
     
     
         3 . The method of  claim 1 , wherein modifying the speech model includes modifying a Hidden Markov model.  
     
     
         4 . The method of  claim 1 , wherein modifying the speech model using a noise model includes using a noise model determined from an input sample comprising both the noise and the speech sample.  
     
     
         5 . The method of  claim 1 , further comprising recognizing the speech sample using the speech model.  
     
     
         6 . The method of  claim 5 , wherein recognizing the speech model includes recognizing the speech sample using a Viterbi algorithm.  
     
     
         7 . The method of  claim 5 , wherein recognizing the speech model includes recognizing the speech sample without storing the speech sample in memory.  
     
     
         8 . The method of clam  7 , wherein recognizing the speech model includes recognizing the speech sample without storing the noise model in memory.  
     
     
         9 . A method comprising: 
 adapting a speech model during an initial pass of an input sample through a voice recognizer.    
     
     
         10 . The method of  claim 9 , wherein adapting the speech model includes adapting a noise model from noise in the input sample, the noise being prior to a speech sample in the input sample.  
     
     
         11 . The method of  claim 10 , wherein adapting the speech model includes adapting the noise model only from noise in the input sample that is prior to the speech sample in the input sample.  
     
     
         12 . The method of  claim 10 , further comprising recognizing content of a speech sample after generating the noise model.  
     
     
         13 . The method of  claim 9 , wherein adapting the speech model includes adapting a Hidden Markov model.  
     
     
         14 . The method of  claim 9 , wherein the speech model is adapted prior to completion of the initial pass of the input sample.  
     
     
         14 . A method of processing an input sample including a noise sample followed by a data sample, the method comprising: 
 altering a noise model with the noise sample; and    altering a speech model with the noise model.    
     
     
         15 . The method of  claim 14 , wherein altering the noise model and altering the speech model occurs during an initial pass of the input sample through a voice recognizer.  
     
     
         16 . The method of  claim 1   4 , wherein altering the noise model includes modifying the noise model with noise that occurs only prior to the data sample.  
     
     
         17 . The method of  claim 1   4 , wherein altering the noise model includes identifying the noise sample in the input sample.  
     
     
         18 . The method of  claim 17 , wherein altering the noise model includes modifying the noise model using only the noise sample.  
     
     
         19 . An apparatus comprising: 
 a speech recognizer adapted to modify a speech model and recognize speech during a single pass of an input sample.    
     
     
         20 . The apparatus of  claim 19 , further comprising a hidden Markov model.  
     
     
         21 . The apparatus of  claim 19 , wherein the speech recognizer is further adapted to modify a noise model during the single pass of the input signal.  
     
     
         21 . The apparatus of  claim 21 , wherein the speech recognizer is further adapted to modify the speech model using the noise model.  
     
     
         22 . An apparatus comprising: 
 a speech model to recognize speech during a single pass of an input sample; and    a static dynamic random access memory.    
     
     
         23 . The apparatus of  claim 22 , wherein the speech model comprises a Hidden Markov model.  
     
     
         24 . The apparatus of  claim 22 , further comprising a noise model, wherein the noise model is modified during the single pass of the input signal.  
     
     
         25 . An article comprising: a storage medium having stored thereon instructions, that, when executed by a computing platform, results in: 
 adapting a speech model during an initial pass of an input sample through a voice recognizer.    
     
     
         26 . The article of  claim 25 , wherein the instructions, when executed, further result in adapting a noise model from noise in the input sample, the noise being prior to a speech sample in the input sample.  
     
     
         27 . The article of  claim 26 , wherein the instructions, when executed, further result in adapting the noise model only from noise in the input sample that is prior to the speech sample in the input sample.  
     
     
         28 . The article of  claim 25 , wherein the instructions, when executed, further result in recognizing content of a speech sample after generating the noise model.  
     
     
         29 . The article of  claim 25 , wherein the instructions, when executed, further result in adapting a Hidden Markov model.  
     
     
         30 . The article of  claim 25 , wherein the instructions, when executed, further result in adapting the speech model prior to completion of the initial pass of the input sample.